The Digital Evolution of Occupy Wall Street

We examine the temporal evolution of digital communication activity relating to the American anti-capitalist movement Occupy Wall Street. Using a high-volume sample from the microblogging site Twitter, we investigate changes in Occupy participant engagement, interests, and social connectivity over a fifteen month period starting three months prior to the movement's first protest action. The results of this analysis indicate that, on Twitter, the Occupy movement tended to elicit participation from a set of highly interconnected users with pre-existing interests in domestic politics and foreign social movements. These users, while highly vocal in the months immediately following the birth of the movement, appear to have lost interest in Occupy related communication over the remainder of the study period.

[1]  Rizal Setya Perdana What is Twitter , 2013 .

[2]  Jacob Ratkiewicz,et al.  Predicting the Political Alignment of Twitter Users , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[3]  Danah Boyd,et al.  Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[4]  Johan Bollen,et al.  Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[5]  D. Snow,et al.  Framing Processes and Social Movements: An Overview and Assessment , 2000 .

[6]  Gilad Mishne,et al.  Finding high-quality content in social media , 2008, WSDM '08.

[7]  A. Vespignani,et al.  Competition among memes in a world with limited attention , 2012, Scientific Reports.

[8]  J. Craig Jenkins,et al.  Resource Mobilization Theory and the Study of Social Movements , 1983 .

[9]  Marco Brambilla,et al.  A revenue sharing mechanism for federated search and advertising , 2012, WWW.

[10]  Robert D. Benford An Insider's Critique of the Social Movement Framing Perspective* , 1997 .

[11]  Qi Gao,et al.  Analyzing user modeling on twitter for personalized news recommendations , 2011, UMAP'11.

[12]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[13]  W. Bennett,et al.  Communicating Global Activism , 2003 .

[14]  Yutaka Matsuo,et al.  Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.

[15]  D. Karpf Online Political Mobilization from the Advocacy Group's Perspective: Looking Beyond Clicktivism , 2010 .

[16]  Leysia Palen,et al.  Microblogging during two natural hazards events: what twitter may contribute to situational awareness , 2010, CHI.

[17]  Yamir Moreno,et al.  The Dynamics of Protest Recruitment through an Online Network , 2011, Scientific reports.

[18]  Daniel J. Myers,et al.  Communication Technology and Social Movements: Contributions of Computer Networks to Activism , 1994 .

[19]  R. Garrett,et al.  Protest in an Information Society: a review of literature on social movements and new ICTs , 2006 .

[20]  Leysia Palen,et al.  Twitter adoption and use in mass convergence and emergency events , 2009 .

[21]  Filippo Menczer,et al.  The Geospatial Characteristics of a Social Movement Communication Network , 2013, PloS one.

[22]  P. Howard,et al.  Opening Closed Regimes: What Was the Role of Social Media During the Arab Spring? , 2011 .

[23]  Duncan J. Watts,et al.  Who says what to whom on twitter , 2011, WWW.

[24]  Brian D. Davison,et al.  Empirical study of topic modeling in Twitter , 2010, SOMA '10.

[25]  D. Boyd,et al.  The Arab Spring| The Revolutions Were Tweeted: Information Flows during the 2011 Tunisian and Egyptian Revolutions , 2011 .

[26]  Johan Bollen,et al.  Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena , 2009, ICWSM.

[27]  Alessandro Vespignani,et al.  Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number , 2011, PloS one.

[28]  J. D. McCarthy,et al.  Resource Mobilization and Social Movements: A Partial Theory , 1977, American Journal of Sociology.

[29]  G. Eysenbach,et al.  Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.

[30]  David A. Shamma,et al.  Characterizing debate performance via aggregated twitter sentiment , 2010, CHI.

[31]  Ciro Cattuto,et al.  Dynamical classes of collective attention in twitter , 2011, WWW.